Udemy - R Programming A-Z™: R For Data Science With Real Exercises! [TP]

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[Tutorialsplanet.NET] Udemy - R Programming A-Z™ R For Data Science With Real Exercises! 1. Hit The Ground Running
  • 1. Welcome to the R Programming Course!.mp4 (45.4 MB)
  • 1. Welcome to the R Programming Course!.vtt (10.3 KB)
  • 2. Updates on Udemy Reviews.mp4 (57.0 MB)
  • 2. Updates on Udemy Reviews.vtt (3.7 KB)
  • 3. Installing R and R Studio (MAC & Windows).mp4 (49.3 MB)
  • 3. Installing R and R Studio (MAC & Windows).vtt (10.8 KB)
  • 4. BONUS Learning Paths.html (2.4 KB)
  • 5. Exercise - Get Excited!.mp4 (50.6 MB)
  • 5. Exercise - Get Excited!.vtt (14.2 KB)
  • 6. BONUS Using R in The Real World.html (1.3 KB)
  • 7. Some Additional Resources!!.html (0.6 KB)
2. Core Programming Principles
  • 1. Welcome to this section. This is what you will learn!.mp4 (12.4 MB)
  • 1. Welcome to this section. This is what you will learn!.vtt (2.3 KB)
  • 10. HOMEWORK Law of Large Numbers.mp4 (35.4 MB)
  • 10. HOMEWORK Law of Large Numbers.vtt (26.9 KB)
  • 11. Core Programming Principles.html (0.1 KB)
  • 2. Types of variables.mp4 (27.1 MB)
  • 2. Types of variables.vtt (16.4 KB)
  • 3. Using Variables.mp4 (21.5 MB)
  • 3. Using Variables.vtt (16.8 KB)
  • 4. Logical Variables and Operators.mp4 (16.7 MB)
  • 4. Logical Variables and Operators.vtt (11.7 KB)
  • 5. The While Loop.mp4 (16.3 MB)
  • 5. The While Loop.vtt (12.3 KB)
  • 6. Using the console.mp4 (6.3 MB)
  • 6. Using the console.vtt (6.8 KB)
  • 7. The For Loop.mp4 (11.8 MB)
  • 7. The For Loop.vtt (8.7 KB)
  • 8. The If statement.mp4 (26.9 MB)
  • 8. The If statement.vtt (21.2 KB)
  • 9. Section Recap.mp4 (10.0 MB)
  • 9. Section Recap.vtt (9.7 KB)
3. Fundamentals Of R
  • 1. Welcome to this section. This is what you will learn!.mp4 (10.2 MB)
  • 1. Welcome to this section. This is what you will learn!.vtt (2.1 KB)
  • 10. HOMEWORK Financial Statement Analysis.mp4 (27.6 MB)
  • 10. HOMEWORK Financial Statement Analysis.vtt (13.7 KB)
  • 11. Fundamentals of R.html (0.1 KB)
  • 2. What is a Vector.mp4 (7.7 MB)
  • 2. What is a Vector.vtt (7.1 KB)
  • 3. Let's create some vectors.mp4 (34.9 MB)
  • 3. Let's create some vectors.vtt (22.2 KB)
  • 4. Using the [] brackets.mp4 (23.8 MB)
  • 4. Using the [] brackets.vtt (17.1 KB)
  • 5. Vectorized operations.mp4 (11.9 MB)
  • 5. Vectorized operations.vtt (10.5 KB)
  • 6. The power of vectorized operations.mp4 (44.1 MB)
  • 6. The power of vectorized operations.vtt (27.7 KB)
  • 7. Functions in R.mp4 (73.5 MB)
  • 7. Functions in R.vtt (30.1 KB)
  • 8. Packages in R.mp4 (36.2 MB)
  • 8. Packages in R.vtt (15.9 KB)
  • 9. Section Recap.mp4 (11.9 MB)
  • 9. Section Recap.vtt (11.1 KB)
4. Matrices
  • 1. Welcome to this section. This is what you will learn!.mp4 (17.1 MB)
  • 1. Welcome to this section. This is what you will learn!.vtt (1.8 KB)
  • 10. Visualizing Subsets.mp4 (24.2 MB)
  • 10. Visualizing Subsets.vtt (6.9 KB)
  • 11. Creating Your First Function.mp4 (48.7 MB)
  • 11. Creating Your First Function.vtt (15.0 KB)
  • 12. Basketball Insights.mp4 (65.0 MB)
  • 12. Basketball Insights.vtt (21.3 KB)
  • 13. Section Recap.mp4 (11.3 MB)
  • 13. Section Recap.vtt (10.4 KB)
  • 14. HOMEWORK Basketball Free Throws.mp4 (39.6 MB)
  • 14. HOMEWORK Basketball Free Throws.vtt (12.7 KB)
  • 15. Matrices.html (0.1 KB)
  • 2. Project Brief Basketball Trends.mp4 (51.9 MB)
  • 2. Project Brief Basketball Trends.vtt (16.5 KB)
  • 3. Matrices.mp4 (14.4 MB)
  • 3. Matrices.vtt (11.2 KB)
  • 4. Building Your First Matrix.mp4 (76.8 MB)
  • 4. Building Your First Matrix.vtt (23.0 KB)
  • 5. Naming Dimensions.mp4 (8.1 MB)
  • 5. Naming Dimensions.vtt (6.4 KB)
  • 6. Colnames() and Rownames().mp4 (42.0 MB)
  • 6. Colnames() and Rownames().vtt (17.5 KB)
  • 7. Matrix Operations.mp4 (35.6 MB)
  • 7. Matrix Operations.vtt (9.9 KB)
  • 8. Visualizing With Matplot().mp4 (69.6 MB)
  • 8. Visualizing With Matplot().vtt (19.5 KB)
  • 9. Subsetting.mp4 (52.7 MB)
  • 9. Subsetting.vtt (15.7 KB)
5. Data Frames
  • 1. Welcome to this section. This is what you will learn!.mp4 (11.1 MB)
  • 1. Welcome to this section. This is what you will learn!.vtt (3.3 KB)
  • 10. Building Dataframes.mp4 (55.9 MB)
  • 10. Building Dataframes.vtt (17.3 KB)
  • 11. Merging Data Frames.mp4 (41.1 MB)
  • 11. Merging Data Frames.vtt (13.1 KB)
  • 12. Visualizing With Qplot Part II.mp4 (40.2 MB)
  • 12. Visualizing With Qplot Part II.vtt (11.2 KB)
  • 13. Section Recap.mp4 (13.8 MB)
  • 13. Section Recap.vtt (12.7 KB)
  • 14. HOMEWORK World Trends.mp4 (23.2 MB)
  • 14. HOMEWORK World Trends.vtt (11.4 KB)
  • 15. Data Frames.html (0.1 KB)
  • 2. Project Brief Demographic Analysis.mp4 (20.5 MB)
  • 2. Project Brief Demographic Analysis.vtt (7.0 KB)
  • 3. Importing data into R.mp4 (12.4 MB)
  • 3. Importing data into R.vtt (9.4 KB)
  • 4. Exploring your dataset.mp4 (58.5 MB)
  • 4. Exploring your dataset.vtt (17.7 KB)
  • 5. Using the $ sign.mp4 (34.3 MB)
  • 5. Using the $ sign.vtt (11.1 KB)
  • 6. Basic operations with a Data Frame.mp4 (53.8 MB)
  • 6. Basic operations with a Data Frame.vtt (16.5 KB)
  • 7. Filtering a Data Frame.mp4 (50.0 MB)
  • 7. Filtering a Data Frame.vtt (15.2 KB)
  • 8. Introduction to qplot.mp4 (43.8 MB)
  • 8. Introduction to qplot.vtt (14.7 KB)
  • 9. Visualizing With Qplot Part I.mp4 (28.2 MB)
  • 9. Visualizing Wit

Description

Udemy - R Programming A-Z™: R For Data Science With Real Exercises! [TP]

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

For more Udemy Courses: https://tutorialsplanet.net



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Udemy - R Programming A-Z™: R For Data Science With Real Exercises! [TP]


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Download torrent
2.8 GB
seeders:14
leechers:7
Udemy - R Programming A-Z™: R For Data Science With Real Exercises! [TP]


Torrent hash: 77B9191EBDCCD06A6647BBB6EFE360D383EA88E0